This solution is optimized for the scenario that the dataset is very large
but only contains missing values in a small number of columns.

pre_impute

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

pre_impute: Basic imputation

Description

Usage

Arguments

Value